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Energy management can be a monumental task for an organization, from analyzing energy consumption to reducing costs and everything in between. Our software developers streamline all tasks with complete custom energy management solutions. We provide resolutions for utility asset management, billing services and much more.
We create customized energy management solutions for any challenge that arises. Challenges include the inability to truly capture utility cost or the difficulty of setting up and maintaining meter hierarchies and served locations. We develop tailored energy and utility software with data normalization to oversee energy consumption for water, sewer, electric, nuclear, natural gas, solar, wind and other resources.
Our energy management solutions assist businesses with tracking and documentation, optimizing resource utilization and service level improvement. We develop network infrastructure systems that include utility asset management, integrations with a contractor and partner systems and asset lifecycle management. We program data governance features, asset performance monitoring and other functions.
We engineer smart grid data processing software to analyze extremely large amounts of complex information managed by smart grids. Smart grids promote renewable energy usage and advanced performance. Our energy management solutions include real-time data streaming, customizable dashboards and geospatial database integrations. We program features for spatial modelling, predictive analytics and modules for deferral of grid investments.
Encourage energy conservation with energy demand management principles, like financial incentives and education that catalyzes behavioral change. Our developers program demand-side management (DSM) initiative modules which include lowered rates, incentives and utility controls. In addition, we code real-time information models and customer education/feedback management. We write DSM applications for load shifting and reduction functions.
Supervisory control and data acquisition (SCADA) systems help utilities deliver power consistently, decrease costs and are aids for advancements like futuristic, self-healing smart grids. We develop SCADA systems that are combined with advanced DSM analysis and energy management software for transmission operations. We also embed an OMS with a modular, flexible platform with common user experience.
A good distribution management system (DMS) monitors and controls the total distribution network effectively and reduces outages, minimizes outage time and upholds adequate voltage and frequency levels. Our developers build software architecture for DMS applications that's integrated with Geographic Information Systems (GIS), Customer Information Systems (CIS) and Interactive Voice Response Systems (IVRS).
A Behind the Meter (BTM) system is specially designed for renewable energy management and reduces the carbon footprint of a building by generating energy from local sources. It also reduces electrical bills greatly, has a typical payback of 8 years and much more. We provide BTM software application programming that includes interoperability with various Original Equipment Manufacturer (OEM) hardware systems.
We help you make the most of your energy portfolio, lowering costs while balancing energy needs. We develop resource portfolio management modules such as demand and procure management, formula and index-based pricing and short and long term energy use planning. We develop features for storage fill management, supply management and hedging/options.
We engineer web-based and cloud automated bill calculation systems for metered and non-metered utilities, among other options. We integrate features from third-party utility billing software vendors, including Cogsdale, Continental Utility Systems and EnergyCAP. We program software for comprehensive customer portals, online payments and eBilling.
Our developers program energy management solutions for field services software. This software capitalizes power production, preserves assets securely and manages the difficulties of aging infrastructure and legacy paper-based systems. We develop features for data capture to a mobile device, crew scheduling and GPS service routing. We code features for work order processing, geolocation/geotagging and other options for optimizing mobile workforce activities.
Our developers can incorporate the latest in digital technology energy management solutions into the software we produce for your business. We integrate augmented reality (AR) and virtual reality (VR) into training and operation components. We develop Computer Aided Design (CAD) and mapping applications for accurate dimensional analysis and virtualization of utility infrastructure.
Our developers create customizable workflow software for a variety of tasks, such as a review process for outage management scheduling and organization of digital safety work permits. Our energy management solutions automate resource delivery and storage workflows.
Energy consumption and the subsequent consequences of it being poorly managed not only look bad but can be dire to a business and the ecosystem. At Chetu, we offer modern solutions to modern problems. With AI, you can be better equipped to handle the complexity and evolving nature of energy demand and optimize grid usage for a better future.
We understand that the energy landscape is constantly changing. Because of this, our AI solutions take a holistic approach to energy management. Our strategies encompass intelligent utility operations, demand prediction models, and adaptive energy management. We’ll bolster these with deep learning and machine learning techniques so your business can reduce carbon footprints, optimize energy consumption, and make smarter decisions. We emphasize real-time insights and accuracy and empower your business to contribute to environmental preservation while improving cost-effectiveness and operational efficiency.
Deep learning is an impressive game-changer with its ability to accurately predict energy demand patterns. This feat is possible through Chetu’s cutting-edge neural networks models, developed with consideration of various influential factors and analysis of historical data to enable your business to proactively minimize waste, adjust energy consumption, and improve the overall efficiency. Additionally, with intelligent forecasts, you can better manage resources and identify opportunities for further cost optimizations.
Smart grids and distributed energy resources (DERs) are becoming more integral to our energy infrastructure and ecosystem. Our AI-powered intelligent energy management system delivers a higher level of reliability and efficiency. We’ll seamlessly integrate DERs using advanced algorithms to ensure grid balancing and optimal utilization. We implement real-time data analysis and subsequent smart decision-making algorithms to reduce grid instability while improving overall performance. With the capability to be remote accessed, you can respond proactively to ever-changing energy demands, achieving a more sustainable energy infrastructure.
At Chetu, we’ll offer your business the tools to successfully manage your real-time analytics and deliver the best data-driven results possible. With access to actionable insights and granular real-time data, alongside the continuous monitoring of energy consumption patterns, our systems can identify potential optimization opportunities and detect anomalies. As a result, your business or organization can confidently improve your decision-making. Additionally, using our state-of-the-art analytics tools can lead to reduced downtimes and improved managing of energy, regardless of the fluctuating demands.
Identifying and addressing the faults within energy-intensive processes facilitate efficient energy management. Chetu’s AI-powered Fault Detection and Diagnostics (FDD) systems will enable your business to diagnose system inefficiencies in real-time and proactively implement a plan to fix them. Our FDD systems prevent equipment malfunctions and energy wastage and deliver improved energy performance, enhanced operational reliability, and reduced maintenance costs. Our advanced algorithms will prolong your equipment’s lifespan, streamline your energy usage, and aid in the creation of sustainable practices that lead to long-term profitability and efficiency.
The energy demand is constantly fluctuating. However, our response programs are fortified by AI-driven forecasting and demand prediction models, so that your business can not only better anticipate peak energy periods, but also proactively implement the proper response strategies. We can help you foster a culture of sustainability and energy conservation through collaboration, leading to a greener future.
Energy management software can analyze, track, and optimize energy consumption within facilities. With the capability to deliver real-time insights and real-time data, organizations will be enabled to make informed decisions; leading to improved efficiency and a reduction in energy waste.
There are a multitude of benefits that an energy management system can offer a business. These benefits include cost savings, better equipment maintenance, reduced energy consumption, enhanced sustainability, and increased operational efficiency. As a result, you can have a greener and more economically viable operation.
Energy management control systems are vital in enabling businesses to control, monitor, and optimize energy usage. This technology can prevent waste, ensure sustainable practices, and identify inefficiencies, resulting in a positive environmental impact and reduced energy expenses.
Artificial Intelligence analyzes copious amounts of data, detects patterns, and predicts energy usage patterns. This optimizes cooling, heating, and lighting systems to make real-time adjustments, leading to improved energy conservation and a reduction in energy waste.
Yes! Artificial Intelligence can lower energy costs significantly. This is possible through its capability to identify energy-intensive processes, offer predictive maintenance insights, and suggest cost-effective strategies, ultimately optimizing energy usage and reducing energy consumption.
Artificial Intelligence is able to analyze and adjust energy usage at peak demand points in correspondence with energy consumption patterns. As a result, there can be a greater sense of grid stability and a reduction in strain during those peak demand points. Additionally, AI enables demand forecasting, load balancing, and incentivizes consumers to change their consumption behaviors, further bolstering the stability of the grid.
Like a lot of modern systems, an AI-powered Energy Management System needs various forms of data to function optimally. This “big data” includes weather forecasts, occupancy patters, building characteristics, historical usage data, and real-time energy consumption data. All of these sources of information are leveraged by AI to develop accurate predictions and improve energy usage.
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